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Posting Description PREDOCTORAL RESEARCHER, Economics, to support work at all stages of the research process on projects in economics and applied machine learning / artificial intelligence
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Posting Description PREDOCTORAL RESEARCHER, Economics, to support work at all stages of the research process on research projects in the fields of econometrics and applied machine learning
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neoclassical tearing modes in metal-wall scenarios; support the creation and validation of machine learning (ML) and hybrid physics + ML models to monitor and control the proximity to stability boundaries
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
Posting Description POSTDOCTORAL ASSOCIATE, Mechanical Engineering, to perform cutting-edge research on projects centered around machine learning models for Computer Aided Design and Engineering
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Requirements REQUIRED: Ph.D. in Atmospheric science, Civil and Environmental engineering, mechanical engineering, or a related field; knowledge of and demonstrated skillset in physics-informed machine learning
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
developing computational infrastructure, designing machine learning segmentation and classification pipelines, creating visualization and UI tools, processing, storing, and disseminating large datasets, and
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
how circuit structure supports computation. Will lead research on one or more of the following areas: Automated proofreading & annotation at scale: Machine learning approaches for error detection, human
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
its academic programs; under minimal supervision, assist students building course related projects using rapid prototyping machines and related activities emphasizing electronics; instruct students
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
deployment of machine-learning models for studying aspects of tumor evolution; keeping detailed code and analysis notebooks, and records of plans and progress; giving journal club and lab progress
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in statistics, data science, machine learning, and artificial intelligence to enable discovery and innovation in biological engineering. We are especially interested in work that engages molecular and